Correlation Between National Health and General Mills
Can any of the company-specific risk be diversified away by investing in both National Health and General Mills at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining National Health and General Mills into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between National Health Investors and General Mills, you can compare the effects of market volatilities on National Health and General Mills and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in National Health with a short position of General Mills. Check out your portfolio center. Please also check ongoing floating volatility patterns of National Health and General Mills.
Diversification Opportunities for National Health and General Mills
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between National and General is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding National Health Investors and General Mills in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Mills and National Health is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on National Health Investors are associated (or correlated) with General Mills. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Mills has no effect on the direction of National Health i.e., National Health and General Mills go up and down completely randomly.
Pair Corralation between National Health and General Mills
Assuming the 90 days trading horizon National Health is expected to generate 4.47 times less return on investment than General Mills. In addition to that, National Health is 1.16 times more volatile than General Mills. It trades about 0.04 of its total potential returns per unit of risk. General Mills is currently generating about 0.2 per unit of volatility. If you would invest 6,249 in General Mills on September 30, 2024 and sell it today you would earn a total of 2,781 from holding General Mills or generate 44.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
National Health Investors vs. General Mills
Performance |
Timeline |
National Health Investors |
General Mills |
National Health and General Mills Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with National Health and General Mills
The main advantage of trading using opposite National Health and General Mills positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if National Health position performs unexpectedly, General Mills can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in General Mills will offset losses from the drop in General Mills' long position.National Health vs. VITEC SOFTWARE GROUP | National Health vs. CHEMICAL INDUSTRIES | National Health vs. Siamgas And Petrochemicals | National Health vs. Sekisui Chemical Co |
General Mills vs. Johnson Johnson | General Mills vs. AstraZeneca PLC | General Mills vs. Amgen Inc | General Mills vs. Bayer AG NA |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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